SUMMARY
There is an important role played by Magnetic Resonance Imaging (MRI) in the domain of non-invasive diagnosis of brain tumors. Segmentation most commonly used in MRI for extraction of various types of tissues and it is also helps in identifying reflective tumors. Several tumor segmentation method are proposed which vary in the accuracy of tumor detection and identification. Sensitivity to movement is the major disadvantage of MRI, it is therefore not a popular method for organs which involve movements such as detection of tumor in the mouths. Multi-modal image fusions overcome the limitation by enabling reconstruction and prediction. The MR images are fused with other modalities.